Vardiational Bayesian Hybrid Multi-Bernoulli and CPHD Filters for Superpositional Sensors

Vardiational Bayesian Hybrid Multi-Bernoulli and CPHD Filters for Superpositional Sensors

This paper addresses the problem of multi-target tracking with superpositional sensors, while the covariance matrices of measurement noise are not known. The proposed method is based on the hybrid multi-Bernoulli cardinalized probability hypothesis density (HMB-CPHD) filter, which has been developed...

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Bibliographic Details
Main Authors: Wenjie Xu, Huaguo Zhang, Gaiyou Li, Wanchun Li
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Electronics
Subjects:
CPHD
multi-Bernoulli
multi-target filtering
random finite set
superpositional sensors
variational Bayesian
Online Access:https://www.mdpi.com/2079-9292/12/9/2083

Internet

https://www.mdpi.com/2079-9292/12/9/2083

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